• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3B
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• pp.105-113
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• 2005

In this paper, through the implementation of the application service, we evaluated the feasibility and availability of the staged application service platform, which is based on the sharing of the PVM cluster. Application service platform provides three managers for dividing the request processing steps into two stages, such as a request processing stage and a service providing stage. Three managers and its relation to the divided stages are as follows, service manager and load manager to distribute the request in front-end server for a request processing stage, job manager in clustered(back-end) servers for a service providing stage. The experiment shows that the staged application service platform provides more stable and scalable characteristics and better performance improvement on the dynamic load changes than the single server system. And also it shows that real application service system can be implemented easily without modification of the proposed service platform.

• Journal of Satellite, Information and Communications
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• v.10 no.3
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• pp.11-15
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• 2015

In this study, we present the architecture design of data control system in water hazard information platform with analyzing the complexity of the data processing. Generally, data control systems in data collection and analysis platforms base on the constant data-algorithm data processing meaning that data processing between data and algorithm is fixed. But the number of data processing in data control system is rapidly increasing because of increasing of complexity of system. To hold down the number of data processing, dynamic data-algorithm data processing is able to be applied to data control system. After comparison each data-algorithm data processing method, we suggest design method of the data control system optimizing water hazard information platform.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.218-221
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• 2016

Global Platform는 다중 응용프로그램의 보안적 관리를 위한 IC칩 카드의 글로벌 산업표준으로써, GP 규격이 구현된 IC칩 카드는 다양한 응용분야에서 사용되는 애플리케이션을 카드에 탑재하고자 할 때 정당한 호스트와 카드임을 상호간에 입증하기 위해서 상호인증을 수행한다. 본 논문은 GP 규격에서 제시하는 카드와 호스트간의 대칭키 기반 상호인증 프로토콜에 대해서 분석하고, 카드가 생성한 난수의 유효성을 효율적으로 검증하는 방안을 제시한다.

• Structural Monitoring and Maintenance
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• v.7 no.4
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• pp.345-365
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• 2020

At present, many machine leaning and data mining methods are used for analyzing and predicting structural response characteristics. However, the platform that combines big data analysis methods with online and offline analysis modules has not been used in actual projects. This work is dedicated to developing a multifunctional Hadoop-Spark big data platform for bridges to monitor and evaluate the serviceability based on structural health monitoring system. It realizes rapid processing, analysis and storage of collected health monitoring data. The platform contains offline computing and online analysis modules, using Hadoop-Spark environment. Hadoop provides the overall framework and storage subsystem for big data platform, while Spark is used for online computing. Finally, the big data Hadoop-Spark platform computational performance is verified through several actual analysis tasks. Experiments show the Hadoop-Spark big data platform has good fault tolerance, scalability and online analysis performance. It can meet the daily analysis requirements of 5s/time for one bridge and 40s/time for 100 bridges.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.50-53
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• 2016

Image processing techniques play an increasingly important role in many aspects of our daily life. For example, it has been shown to improve agricultural productivity in a number of ways such as plant pest detecting or fruit grading. However, massive quantities of images generated in real-time through multi-devices such as remote sensors during monitoring plant growth lead to the challenges of big data. Meanwhile, most current image processing systems are designed for small-scale and local computation, and they do not scale well to handle big data problems with their large requirements for computational resources and storage. In this paper, we have proposed an IPABigData (Image Processing Algorithm BigData) platform which provides algorithms to support large-scale image processing in agriculture based on Hadoop framework. Hadoop provides a parallel computation model MapReduce and Hadoop distributed file system (HDFS) module. It can also handle parallel pipelines, which are frequently used in image processing. In our experiment, we show that our platform outperforms traditional system in a scenario of image segmentation.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.4
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• pp.153-161
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• 2021

Real-time access is required to handle continuous and unstructured data and should be flexible in management under dynamic state. Platform can be built to allow data collection, storage, and processing from local-server or multi-server. Although the former centralize method is easy to control, it creates an overload problem because it proceeds all the processing in one unit, and the latter distributed method performs parallel processing, so it is fast to respond and can easily scale system capacity, but the design is complex. This paper provides data collection and processing on one platform to derive significant insights from various data held by an enterprise or agency in the latter manner, which is intuitively available on dashboards and utilizes Spark to improve distributed processing performance. All service utilize dockers to distribute and management. The data used in this study was 100% collected from Kafka, showing that when the file size is 4.4 gigabytes, the data processing speed in spark cluster mode is 2 minute 15 seconds, about 3 minutes 19 seconds faster than the local mode.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.345-346
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• 2012

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8563-8567
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• 2015

We propose a human-robot interaction(HRI) platform based on motion capture and mapping. Platform consists of capture, processing/mapping, and action parts. A motion capture sensor, computer, and avatar and/or physical robots are selected as capture, processing/mapping, and action part(s), respectively. Case studies-an interactive presentation and LEGO robot car are presented to show the design and implementation process of Kinect based HRI platform.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05b
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• pp.1003-1006
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• 2003

본 논문에서는 KT 서비스개발연구소에서 개발된 컴포넌트 리파지토리 시스템의 설계 및 구현방법을 소개한다. 본 시스템은 CBD 방법론 및 EJB 컴포넌트 모델을 적용하여 유연하고 확장성 높은 컴포넌트 기반 시스템으로 개발되었다. 본 시스템은 컴포넌트를 기술하고 검색하기 위한 컴포넌트 명세 방법과 컴포넌트들을 체계적으로 분류, 관리할 수 있는 계층적 분류 체계를 정의한다 또 컴포넌트의 재활용을 위해 효과적인 검색 및 탐색 방법을 제공하며, 사용자 관리 및 통계 기능 둥을 포함한다. 본 논문에서는 요구사항 분석, 설계, 구현 단계에서 CBD 방법론의 적용 방안을 기술하고, 특히 컴포넌트 식별 및 컴포넌트 구조 설계 방법에 대해 상세히 기술한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1089-1092
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• 2005

1999 년부터 상용화된 무선 인터넷 서비스는 국내의 경우 이동통신 3 사가 각기 독자적인 통신 기법 및 서비스 체제를 가지고 있었다. 이로 인하여 서로 다른 이동통신사의 무선 단말기 플랫폼들은 상호 호환성(interoperability)이 없었다. 이러한 비호환성은 단말기 제조업체나 컨텐츠 제작 업체에게 기술적인 어려움은 물론이고 비용적인 측면에서 여러 가지 문제점을 낳았다. 이러한 문제점을 해결하고자 2002 년부터 WIPI(Wireless Internet Platform for Interoperability)라는 표준화된 무선 인터넷 플랫폼의 개발이 시작되어 현재는 WIPI 2.0 을 탑재한 무선 단말기가 출시된 상황이다. 본 논문에서는 WIPI 플랫폼이 탑재된 무선 단말기가 유료화된 컨텐츠를 다운로드 하여 사용할 수 있도록 해주는 다운로드 시스템의 설계 및 구현에 대해서 기술한다. 이를 위해 컨텐츠 다운로드 프로토콜, 최적화된 컨텐츠의 결정기법, 그리고 COD(Compile On Demand)를 이용한 네이티브 코드 적용 기법에 대해 설명한다.